read.nc {RNetCDF} | R Documentation |
Read all data from a NetCDF dataset.
read.nc(ncfile, unpack=TRUE)
ncfile |
Object of class " |
unpack |
Unpack "packed" variables if set to |
This function reads all variable data from a NetCDF dataset into a single list. The list elements (arrays) have the same names as the variables in the NetCDF dataset.
Packed variables can optionally be returned in an unpacked state (see var.get.nc
for more information).
A list with the list elements containing the variable data of the NetCDF dataset.
Pavel Michna, Milton Woods
http://www.unidata.ucar.edu/software/netcdf/
## Create a new NetCDF dataset and define two dimensions nc <- create.nc("read.nc") dim.def.nc(nc, "station", 5) dim.def.nc(nc, "time", unlim=TRUE) dim.def.nc(nc, "max_string_length", 32) ## Create three variables, one as coordinate variable var.def.nc(nc, "time", "NC_INT", "time") var.def.nc(nc, "temperature", "NC_DOUBLE", c(0,1)) var.def.nc(nc, "name", "NC_CHAR", c("max_string_length", "station")) ## Put some missing_value attribute for temperature att.put.nc(nc, "temperature", "missing_value", "NC_DOUBLE", -99999.9) ## Define variable values mytime <- c(1:2) mytemperature <- c(1.1, 2.2, 3.3, 4.4, 5.5, 6.6, 7.7, NA, NA, 9.9) myname <- c("alfa", "bravo", "charlie", "delta", "echo") ## Put the data var.put.nc(nc, "time", mytime, 1, length(mytime)) var.put.nc(nc, "temperature", mytemperature, c(1,1), c(5,2)) var.put.nc(nc, "name", myname, c(1,1), c(32,5)) sync.nc(nc) ## Get the data read.nc(nc) close.nc(nc)